Anthropic
Overview
About Anthropic: Anthropic’s mission is to create reliable, interpretable, and steerable AI systems with safety and societal benefit at the core. Our team includes researchers, engineers, policy experts, and business leaders collaborating to build beneficial AI systems. About the role
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect and trusted technical advisor helping large enterprises understand the value of Claude and how to integrate and deploy Claude into their technology stack. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding high standards for safety and reliability. You will guide customers from technical discovery through successful deployment, helping them understand Claude’s capabilities, develop evaluations, and design scalable architectures that maximize the value of our AI systems. Working closely with Sales, Product, and Engineering, you will coordinate across teams to drive customer success. Responsibilities
Partner with account executives to understand customer requirements and translate them into technical solutions, aligning business objectives with technical implementation. Serve as the primary technical advisor to enterprise customers throughout Claude adoption—from discovery to initial evaluation to deployment—and coordinate across multiple teams and stakeholders. Support customers building with the Claude API and Claude for Work. Create and deliver technical content tailored to different audiences, from deep technical dives for engineering teams to business value discussions with executives. Guide technical architecture decisions and help customers integrate Claude into their existing technology stack. Help customers develop evaluation frameworks to measure Claude’s performance for specific use cases. Identify common integration patterns and provide insights to Product and Engineering teams. Travel occasionally to customer sites for workshops, technical deep dives, and relationship building. Maintain knowledge of the latest developments in LLM capabilities and implementation patterns. You may be a good fit if you have
5+ years in technical customer-facing roles (e.g., Solutions Architect, Sales Engineer, Technical Account Manager). Experience with enterprise customers and complex buying cycles involving multiple stakeholders. Strong ability to communicate technical concepts to diverse stakeholders including C-suite, engineering, and IT teams. Experience designing scalable cloud architectures and integrating with enterprise systems. Comfortable with Python. Familiarity with common LLM frameworks and tools or a background in ML or data science. Collaborative mindset, cross-organizationally oriented, and able to balance competing priorities. Enjoy teaching, mentoring, and helping others succeed. Excellent communication and interpersonal skills to convey complex topics clearly to external and internal stakeholders. Passion for using technology safely and beneficially to advance safe AI systems. Deadline to apply:
None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $240,000 - $270,000 USD Logistics
Education requirements:
At least a Bachelor’s degree in a related field or equivalent experience. Location-based hybrid policy:
Staff are expected to be in an office at least 25% of the time where possible; some roles may require more time in office. Visa sponsorship:
We sponsor visas where possible. If we offer you a position, we will make reasonable efforts to obtain a visa with the help of our immigration counsel. We encourage you to apply
Apply even if you do not meet every single qualification. We value diverse perspectives and recognize that strong candidates may come from nontraditional backgrounds. How we’re different
We pursue high-impact AI research as a cohesive team focused on a few large-scale efforts, valuing impact and steerable, trustworthy AI. We emphasize collaboration and strong communication skills, with a research direction that includes topics like GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible hours, and a collaborative office space. Apply for this job
This section includes a required form with fields for personal information, experience, and consent. Please follow the on-screen instructions to complete your application. Voluntary Self-Identification
For government reporting, candidates may respond to a voluntary self-identification survey. Completion is voluntary and confidential. We do not discriminate and aim to track progress toward equal employment opportunity goals.
#J-18808-Ljbffr
About Anthropic: Anthropic’s mission is to create reliable, interpretable, and steerable AI systems with safety and societal benefit at the core. Our team includes researchers, engineers, policy experts, and business leaders collaborating to build beneficial AI systems. About the role
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect and trusted technical advisor helping large enterprises understand the value of Claude and how to integrate and deploy Claude into their technology stack. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding high standards for safety and reliability. You will guide customers from technical discovery through successful deployment, helping them understand Claude’s capabilities, develop evaluations, and design scalable architectures that maximize the value of our AI systems. Working closely with Sales, Product, and Engineering, you will coordinate across teams to drive customer success. Responsibilities
Partner with account executives to understand customer requirements and translate them into technical solutions, aligning business objectives with technical implementation. Serve as the primary technical advisor to enterprise customers throughout Claude adoption—from discovery to initial evaluation to deployment—and coordinate across multiple teams and stakeholders. Support customers building with the Claude API and Claude for Work. Create and deliver technical content tailored to different audiences, from deep technical dives for engineering teams to business value discussions with executives. Guide technical architecture decisions and help customers integrate Claude into their existing technology stack. Help customers develop evaluation frameworks to measure Claude’s performance for specific use cases. Identify common integration patterns and provide insights to Product and Engineering teams. Travel occasionally to customer sites for workshops, technical deep dives, and relationship building. Maintain knowledge of the latest developments in LLM capabilities and implementation patterns. You may be a good fit if you have
5+ years in technical customer-facing roles (e.g., Solutions Architect, Sales Engineer, Technical Account Manager). Experience with enterprise customers and complex buying cycles involving multiple stakeholders. Strong ability to communicate technical concepts to diverse stakeholders including C-suite, engineering, and IT teams. Experience designing scalable cloud architectures and integrating with enterprise systems. Comfortable with Python. Familiarity with common LLM frameworks and tools or a background in ML or data science. Collaborative mindset, cross-organizationally oriented, and able to balance competing priorities. Enjoy teaching, mentoring, and helping others succeed. Excellent communication and interpersonal skills to convey complex topics clearly to external and internal stakeholders. Passion for using technology safely and beneficially to advance safe AI systems. Deadline to apply:
None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $240,000 - $270,000 USD Logistics
Education requirements:
At least a Bachelor’s degree in a related field or equivalent experience. Location-based hybrid policy:
Staff are expected to be in an office at least 25% of the time where possible; some roles may require more time in office. Visa sponsorship:
We sponsor visas where possible. If we offer you a position, we will make reasonable efforts to obtain a visa with the help of our immigration counsel. We encourage you to apply
Apply even if you do not meet every single qualification. We value diverse perspectives and recognize that strong candidates may come from nontraditional backgrounds. How we’re different
We pursue high-impact AI research as a cohesive team focused on a few large-scale efforts, valuing impact and steerable, trustworthy AI. We emphasize collaboration and strong communication skills, with a research direction that includes topics like GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible hours, and a collaborative office space. Apply for this job
This section includes a required form with fields for personal information, experience, and consent. Please follow the on-screen instructions to complete your application. Voluntary Self-Identification
For government reporting, candidates may respond to a voluntary self-identification survey. Completion is voluntary and confidential. We do not discriminate and aim to track progress toward equal employment opportunity goals.
#J-18808-Ljbffr